Run
8070301

Run 8070301

Task 145857 (Supervised Classification) phoneme Uploaded 18-10-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV10
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Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees1453
mlr.classif.ranger(9)_mtry2
mlr.classif.ranger(9)_min.node.size202
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.481241507362574
mlr.classif.ranger(9)_respect.unordered.factorsTRUE
mlr.classif.ranger(9)_num.threads1
mlr.classif.ranger(9)_verboseFALSE
mlr.classif.ranger(9)_openml.seed1
mlr.classif.ranger(9)_openml.kindMersenne-Twister
mlr.classif.ranger(9)_openml.normal.kindInversion

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.9067
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8313
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5858
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2047.882
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2585
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4147
Cross-validation details (10-fold Crossvalidation)
Number of instances
5404
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8306
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8349
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8733
Cross-validation details (10-fold Crossvalidation)
Recall
0.8349
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6233
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4554
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.342
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.751
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1838.733
UserCPU time millis
26.407
UserCPU time millis testing
1.753
UserCPU time millis training
24.654